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As limited energy is one of the tough challenges in wireless sensor networks (WSN), energy saving becomes important in increasing the lifecycle of the network. Data fusion enables combining information from several sources thus to provide a unified scenario, which can significantly save sensor energy and enhance sensing data accuracy. In this paper, we propose a cluster-based data fusion algorithm for event detection. We use -means algorithm to form the nodes into clusters, which can significantly reduce the energy consumption of intracluster communication. Distances between cluster heads and event and energy of clusters are fuzzified, thus to use a fuzzy logic to select the clusters that will participate in data uploading and fusion. Fuzzy logic method is also used by cluster heads for local decision, and then the local decision results are sent to the base station. Decision-level fusion for final decision of event is performed by base station according to the uploaded local decisions and fusion support degree of clusters calculated by fuzzy logic method. The effectiveness of this algorithm is demonstrated by simulation results.

In the current urban rail transit system, the levels of informatization and integration are not high. In order to change the traditional pattern of rail transportation operation and management, we propose an intelligent information platform of subway system based on Internet of things. Depending on the sensor nodes deployed in various functional departments of rail transport and the RFID technology, this system transmits the collected data to the database server through the gateway node by deploying. After fuse the data from multi-sensor, the system possesses the data in wisdom subway information integrated platform uniformly. Simultaneously, this paper also proposes a completely covered algorithm in the monitoring areas as one of the key technologies applied in the information platform.

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The rapid progress of mobile Internet has brought about wide range of applications of security audit systems. As a part of security audit system, content security audit is crucial for ensuring the reliability and security for system applications. In this paper, we propose a novel multiple patterns matching algorithm WMMA based on the Chinese context (Wu-Manber Algorithm for Mobile Internet Security Audit) to realize auditing the interactive content in the mobile Internet. Our improved algorithm based on the efficient WM (Wu-Manber) multiple patterns matching algorithm, which can improve the insufficient of the WM when dealing with Chinese context. The simulation results showed that the improved algorithm is more suitable for the mobile Internet content security auditing of Chinese language environment, which has higher operation efficiency.